CN109495921A - Network stabilization state - Google Patents
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- CN109495921A CN109495921A CN201711057018.5A CN201711057018A CN109495921A CN 109495921 A CN109495921 A CN 109495921A CN 201711057018 A CN201711057018 A CN 201711057018A CN 109495921 A CN109495921 A CN 109495921A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
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Abstract
A kind of method being related to network stabilization state may include the stability status for being network controlled device and determining network.This method can further comprise being at least partially based on the stability status of network to dynamically determine multiple simulated annealing parameters with network associate.In some instances, this method can further comprise at least partly using multiple simulated annealing parameter to optimize network structure.
Description
Background technique
Wireless network can include the hardware component that signal is sent and received via various channels.It is dry in order to reduce signal
It disturbs, the network structure of wireless network can be changed.
Detailed description of the invention
Fig. 1 illustrates the example with the consistent device of the disclosure.
Fig. 2 illustrates the example flow diagram with the consistent method of the disclosure.
Fig. 3 is illustrated and the consistent example non-transitory machine readable media of the disclosure.
Specific embodiment
Wireless network can show plurality of stable character state (such as wireless network deployment state), it is referred to alternatively as herein
" stability status ".This stability status may include " green " ground deployable state/unstable state and stable state, " green " dispose shape
State/unstable state can occur after the network interruption of repositioning, the network structure change of network radio etc..Some
In example, the stability status of network can be determined by manual (such as passing through user interaction), or automatic (such as pass through observation grid
In the quantity of radio, the journey that changes of the quantity of the channel change known in network, and/or radio statistical measurement
Degree) it determines.As it is used herein, " radio " is to convert electric power on the electromagnetic wave antenna that simultaneously vice versa.
In some instances, stability status can be limited by the channel plan of network.Channel plan may include by by with
In the column channel for sending and/or receiving network flow.In some instances, stability status can network-based initial shape
State.For example, whether stability status can be in stable operation mode or unstable operation mode based on network.In some examples
In, initial stability state can correspond to the current operation channel plan of network.This can be during the execution that simulated annealing operates
Allow the minimum of channel change.In some other examples, initial stability state can be by executing for the number of threshold values of iteration
Optimization operates (such as random search) to determine.As used in this, simulated annealing (SA) substantially can be referred to for estimate to
Determine the probabilistic technique of the global optimum of function, such as meta-heuristic algorithm with the estimation large size when search space is discrete
Global optimum in search space.Simulated annealing can be used to generate channel plan in such as WLAN.
Whether the original state of network can show stable stability status or non-stable stability status based on network
To determine.For example, current channel plan is used as the initial shape of network if network shows stable stability status
State.However, the quality of present channel planning can be limited if network shows non-stable stability status.In this situation
In, " cheap " optimization of such as random search can be used for the original state for quickly determining network.In some instances, " cheap "
Optimizing Search, which can be used, operates less computing resource than simulated annealing.
It, can when network shows non-stable stability status compared with when network shows stable stability status
It can be there is a greater chance that improving the quality of channel plan more significantly.In some instances, when new radio is installed in network
In or network environment when being upgraded, stability status can from stablize switch to it is unstable.As described in more detail, here, mould
Quasi- annealing parameter can be at least partially based on the stability status of network to adjust and/or select.
For example, simulated annealing can be executed for than when network exhibition when network shows non-stable stability status
The adjacent scheme of the range search of now stable stability status Shi Geng great.In such examples, simulated annealing parameter can be with
The time is calculated compared to the mode of the quality more concerned with scheme to select.On the contrary, when network shows stable stability status, mould
Quasi- annealing parameter can select compared with the quality of scheme more concerned with the mode for minimizing the calculating time.
Channel distribution (such as in channel plan distribution will be by channel of Web vector graphic) in wireless network can so that
Power is completed in the mode for minimizing cost function.For example, the global channel frequency resource allocation for wireless network can be with
It is dedicated to reducing the mode for corresponding to the cost function for distributing channel in the wireless network to influence.This is allowed based on value letter
It counts to optimize the channel selection in wireless.In some instances, the optimisation technique of such as simulated annealing can be used for this optimize
It realizes.
In simulated annealing, multiple Optimal Parameters can be used.These parameters can influence the quality of optimization (for example, simulation is moved back
Fiery parameter can influence the quality of the optimization operation executed on network).It can be used and/or be considered in the example of the disclosure
Simulated annealing parameter example include optimization time budget, move function, Cooling -schedule (as described in more detail,
Can be determined according to minimum and maximum temperature), the stability status (for example, initial stability state condition of network) of network,
Temperature receives function etc..Used simulated annealing parameter may depend on the stability status of network and different.Correspondingly, to
The simulated annealing parameter for the optimization operation being used to perform on network can network-based stability status dynamically determine.
It is described further below and limit various simulated annealing parameters.
The parameter that can be considered for simulated annealing operation is corresponding to the energy cost for optimizing network structure.One
In a little examples, energy cost can be limited based on the target of channel plan.For example, energy cost can network based on expectations cover
Lid.As an example, certain channels may be less desired compared with other due to various reasons in some deployment, and
The target of channel plan can include not using certain channels based on its characteristic.
In some instances, distance is contemplated that when executing simulated annealing operation.Distance can be based on two stability status
The measurement of diversity between (such as network state).In some instances, distance can be based on two or more stability status
Between the radio with different channels quantity.Although distance can be based on Simulated annealing, the range of distance can be at least
The stability status for being based partially on network carrys out dynamic select.
Move function may also used as simulated annealing parameter.Move function can be based on corresponding to change net at set a distance
The cost of the structure of network.In some instances, distance and/or move function can network-based stability status determine.Example
Such as, when network shows stable stability status, maximum range value can be greater than when network shows non-stable stability status
When.
In some instances, in maximum temperature, when network shows stable stability status, 10% is up in network
Radio can change its channel in moving operation.However, when network shows non-stable stability status, it is high in network
Radio up to 50% can change its channel in moving operation.Example is not so limited；However, and being greater than 10% or small
Its channel can be changed in moving operation when 10% radio is when network shows stable stability status, and be greater than
50% or the radio less than 50% its channel can be changed when network shows non-stable stability status.
In some instances, Simulated annealing can be used for executing simulated annealing operation.Temperature can be with simulated annealing
Operation progress and gradually decrease.For example, initial temperature and final temperature can be determined for executing simulated annealing operation.With mould
Quasi- annealing operation is performed, and temperature gradually can be reduced to final temperature from initial temperature.Temperature is reduced to finally from initial temperature
The rate of temperature can be referred to cooling velocity.When cooling velocity is bigger, the calculating time can solve quality and reduce for cost；
However, the calculating time that the quality of solution can be bigger improves when cooling velocity is lower for cost.
In some instances, it can be determined for the maximum temperature of simulated annealing.Maximum temperature can correspond to initial temperature.
When network shows stable stability status, the bigger maximum temperature compared with when network shows non-stable stability status
Degree can be used for simulated annealing.
In the section start for executing simulated annealing, simulated annealing program can be generated.In some instances, simulated annealing into
Degree table can by dynamic and/or automatically generate.As described above, several simulated annealing operations can be executable to determine simulated annealing temperature
Degree.It is lesser amount of when network shows stable stability status compared with working as network and showing non-stable stability status
Simulated annealing operation and/or less time can be consumed for executing simulated annealing operation.
Simulated annealing can be executed according to annealing schedule table.Annealing schedule table can be performed for simulated annealing to optimize network
The expression of the time quantum of structure.In some instances, compared with working as network and showing non-stable stability status, when network shows
Faster annealing schedule table can be used when stable stability status.For example, being moved back when network shows stable stability status
Wherein maximum analog annealing temperature (T) is about to be divided by the initial temperature (T0) of k to fiery program, and wherein k is some constants, all
Such as Boltzmann constant:When network shows non-stable stability status, annealing schedule table wherein move back by maximum analog
Fiery temperature (T) is the initial temperature (T0) for the log value for being about divided by k:
Disclosed example includes machine readable media, device and is related to the method for network stabilization state.Show some
In example, the method for being related to network stabilization state may include the stability status for being network controlled device and determining network.Such as this paper institute
Use, network controller refer to be conducive to user equipment (such as computer, smart phone, portable computer, plate, etc.) to count
The hardware component of the connection of calculation machine network (such as WLAN).This method can further comprise being at least partially based on network
Stability status dynamically determines multiple simulated annealing parameters with network associate.In some instances, this method can be further
Including at least partly using multiple simulated annealing parameters to optimize network structure.
This paper attached drawing defers to numbering convention, wherein the first number is corresponding to accompanying drawing number and in remaining digital representation figure
Element or component.For example, appended drawing reference 104 can be referred to the element " 04 " in Fig. 1, and similar component can be in Fig. 2 by attached drawing mark
204 identification of note.Element shown in each figure can be added, exchanged, and/or be eliminated herein to provide the several another of the disclosure
Outer example.In addition, the ratio and relative scale of the element provided in figure are intended to illustrate the example of the disclosure, and do not answer
It is construed to the meaning of limitation.
Fig. 1 illustrates the example with the consistent device 100 of the disclosure.As shown in Figure 1, device 100 includes process resource
102 and memory resource 104.In some instances, device 100 can be network controller, and process resource 102 and memory money
Source 104 may include network controller or process resource 102 and memory resource 104 can be the part of network controller.
Process resource 102 can be hardware processing element, such as microprocessor, dedicated instruction set processor, coprocessor, net
Network processor can result in the similar hardware circuit that machine readable instructions are performed.Memory resource 104 can be any type
Volatibility or nonvolatile memory or reservoir, such as random access storage device (RAM), flash memory, read-only memory
(ROM), memory bank, hard disk, or combinations thereof.
Memory resource 104 can store instruction 106 on it.When being executed by process resource 102, instruction 106 be can lead to
Device 100 executes particular task and/or function.For example, memory resource 104 can store can be by process resource at frame 110
102 instructions 106 executed to cause device 100 to distribute time budget, network optimization operation will be performed in the time budget,
Wherein the time budget is at least partially based on the stability status of network.Time budget alternatively herein referred to as optimizes
Time budget.
At frame 112, memory resource 102 can store the instruction 106 that can be executed by process resource 102 to lead to device
100 execute multiple simulated annealing operations during the time budget.For example, simulated annealing operation can continue in the time budget
Period is repeatedly executed at predetermined intervals.
At frame 114, memory resource 104 can store the instruction 106 that can be executed by process resource 102 to lead to device
100 be the determining acceptance probability of each of multiple simulated annealings operation.Acceptance probability can be selected at random based on the state from given quantity
The probability of defect state out.
In some instances, determine that acceptance probability may include that assessment receives function.Receiving function can be used for based on new net
Whether network structure is more preferable than Exist Network Structure or worse determines whether to receive new network structure (for example whether the new letter of selection
Road).Preferably than network structure before new network structure may include providing lower cost or drop than network structure before
The new network structure of the chance of low network conflict.In some instances, acceptance probability may depend on stability status.For example, working as
When network shows stable stability status, compared with when network shows non-stable stability status, different acceptance probabilities
It can be different.
Compared with when network shows stable stability status, the simulation when network shows non-stable stability status
Annealing temperature (such as maximum analog annealing temperature) can be determined by using bigger threshold acceptance value.Maximum analog annealing temperature
It can be defined as the acceptable temperature of solution of X%.In some instances, it when network shows non-stable stable state, uses
The 99% acceptable temperature of solution can be defined as in the maximum temperature of simulated annealing.In comparison, when network shows stabilization
Stable state when, the maximum temperature for simulated annealing can be defined as such as 90% acceptable temperature of solution.
At frame 116, memory resource 104 can store the instruction 106 that can be executed by process resource 102 to lead to device
100 are at least partially based on each restriction simulated annealing parameter that the acceptance probability is the operation of multiple simulated annealings.Simulated annealing ginseng
Number can be primary simulation annealing temperature and/or final Simulated annealing.Memory resource 104 can store can be by process resource
102 instructions 106 executed are at least partially based on simulated annealing parameter optimization network structure to cause device 100 to execute operation.
In some instances, Simulated annealing can be determined by executing several simulated annealing operations.From several moulds
The percentage that the receiving of quasi- annealing operation and refusal solve can be determined and used to determine Simulated annealing (such as primary simulation
Annealing temperature and/or final Simulated annealing).In some instances, for determining calculating time of Simulated annealing
Amount can carry out limit by some time quantum threshold values.For determining that the time quantum threshold value of Simulated annealing works as the stability status of network
It can be lower than when the stability status of network be unstable when to stablize.For example, showing non-stable stable character with network is worked as
It is compared when state, when network shows stable stability status, lesser amount of simulated annealing operation can be executable to determine simulation
Annealing temperature.
In some instances, memory resource 104 can store the instruction 106 that can be executed by process resource 102 to cause to fill
It sets 100 and determines that time budget has expired and is at least partially based on historical simulation annealing optimization data restriction mould in response to the determination
Quasi- annealing temperature.For example, may be used if simulated annealing parameter is not defined in time budget from optimization before
Simulated annealing parameter, such as Simulated annealing.For example, if simulated annealing parameter is not defined in time budget, from
The determining Simulated annealing of optimization operation before can be used.If time budget is not exceeded, when Current Temperatures are low
Optimization operation can terminate when final temperature.
Memory resource 104 can store the instruction 106 that can be executed by process resource 102 to cause device 100 to be based on and net
The energy of the associated Optimization Solution of network, the year with several radio of network associate and at least one radio of network associate
Generation and/or at least one of information from monitoring radio events determine the stability status of network.
In some instances, memory resource 104 can store the instruction 106 that can be executed by process resource 102 to cause to fill
It sets 100 and determines that the stability status of network is stable and is stable determination selection first distance to execute in response to network
Moving operation is to optimize the structure of network.Example is not so limited；However, and in some instances, memory resource 104
The instruction 106 that can be executed by process resource 102 can be stored to cause device 100 to determine that the stability status of network is non-stable
It and in response to network is that non-stable determination selection second distance to execute moving operation optimizes the structure of network.Some
In example, first distance is smaller than second distance.
Fig. 2 illustrates the example flow diagram with the consistent method 220 of the disclosure.At frame 222, method 220 may include
It is network controlled the stability status that device determines network.Whether stability status can be stable or non-stable based on network.
At frame 224, method 220 may include be at least partially based on network stability status dynamically determine and network close
Multiple simulated annealing parameters of connection.In some instances, dynamically determine multiple simulated annealing parameters include dynamically determine with
At least one of energy, distance and move function of network associate.In some instances, method 220 may include at least portion
The original state for dividing network-based stability status to dynamically determine simulated annealing.In some instances, mould is dynamically determined
The original state of quasi- annealing may include dynamically determining at least one simulated annealing parameter (such as Simulated annealing).
At frame 226, method 220 may include at least partly using multiple simulated annealing parameters to optimize network structure.?
In some examples, using multiple simulated annealing parameters with optimize network structure may include optimization network with select via its send simultaneously
Receive the channel of the network of network flow.
In some instances, it can be optimized for multiple wireless networks.The wireless network of multiple optimizations can be by such as connecting
Network, tree, array or other suitable data structures data structure indicate.In this example, it is responsible for executing excellent
The network equipment (such as network controller) of change can execute each of multiple wireless networks excellent within the limitary calculating time
Change.In some instances, the limitary calculating time can be at least partially based on total with the associated radio of multiple wireless networks
Number carrys out budget compilation.For example, if for executing limitary calculating time that optimization operates by boundary at Y hours, and such as
Summation of the fruit for the optimization time budget of each network is greater than Y, then can quilt for the optimization time budget of each wireless network
Assign so that the total evaluation time for executing optimization on multiple wireless networks was by Y hours limits.
In some instances, method 220 may include the Simulated annealing dynamically determined with network associate.Show this
In example, Simulated annealing can be based on the cooling velocity for operating associated determination with execution simulated annealing.Cooling velocity can be at least
It is based partially on the stability status of network.
In some instances, method 220 may further comprise determining that the stability status of network is stable, and in response to
Determine network be it is stable, executed on network the first quantity simulated annealing operation, and/or determine network stability status
Non-stable, and in response to determine network be it is non-stable, executed on network the second quantity simulated annealing operation.One
In a little examples, the simulated annealing operation of the first quantity can be operated less than the simulated annealing of the second quantity.For example, if stable character
State be confirmed as it is stable, then with when stability status be confirmed as it is non-stable compared with, less simulated annealing behaviour can be performed
Make to optimize the structure of network, in the case where stability status is confirmed as unstable, more simulated annealing behaviour can be performed
Make to optimize the structure of network.
Method 220 can further comprise determining that the time for executing simulated annealing operation is pre- using simulated annealing parameter
It calculates.Time budget may include that simulated annealing operates the time quantum that will be performed.In some instances, time budget can be at least partly
Network-based stability status.
In some instances, time budget can be optimization time budget.Optimization time budget can be confirmed as in network
The function of the quantity of the quantity and/or channel of radio.When the quantity of radio is bigger can budget more optimize time (example
Such as, as the quantity of the radio in network increases, optimization time budget can also increase).In some instances, when the number of channel
Amount more hour can budget more optimize the time (for example, with the channel in network quantity reduce, optimization time budget can increase
Add).This may be because when energy is defined as that the interference dominated can be interfered by cochannel, it may be more difficult to determine optimization channel
Planning.
Fig. 3 is illustrated and the consistent example non-transitory machine readable media 330 of the disclosure.Nonvolatile can be performed in process resource
The instruction stored on property machine readable media 330.Non-transitory machine readable media 330 can be any type of volatibility or non-
It is volatile memory or reservoir, such as random access storage device (RAM), flash memory, read-only memory (ROM), memory bank, hard
Disk, or combinations thereof.
Exemplary media 330 can store the stability status that network can be determined by the instruction 332 that process resource executes.Example
Such as, medium 330, which can store, can be executed by process resource to determine whether network shows stable stability status or non-stable
The instruction of stability status.
Exemplary media 330 can store the stability that network can be at least partially based on by the instruction 334 that process resource executes
State distributes time budget to network.Time budget may include the time quantum that Topological expansion will be performed.In some examples
In, time budget can be at least partially based on the quantity with the quantity of the radio of network associate and/or with the channel of network associate.
Exemplary media 330 can store can by the instruction 334 that process resource executes with the execution that cause the network optimization to operate with
Selection sends and receives the channel of the network of network flow via it.In some instances, can store can be by for Exemplary media 330
The instruction that reason resource executes is to be at least partially based on the execution for causing the network optimization to operate with the simulated annealing parameter of network associate.
In some instances, can store can be by the instruction that process resource executes to monitor and network associate for Exemplary media 330
Radio the associated statistics of Radio Measurement, and be at least partially based on and the associated statistics of Radio Measurement determines stability
State.In some instances, Exemplary media 330, which can store, to be associated with monitoring with heterogeneous networks by the instruction that process resource executes
Radio and be at least partially based on and determine stability status with the behavior of the associated radio of heterogeneous networks.
In being discussed in detail above of the disclosure, to forming its part and wherein show the disclosure by way of illustration
The attached drawing how example can be carried out is referred to.These examples are described in sufficient detail so that ordinary skill people
Member can implement the example of the disclosure, and will be appreciated that other examples can be utilized and process, electricity, and/or structure change
Change can carry out without departing from the scope of the disclosure.It is as used in this article, the identifiers such as " N " especially in regard to
Appended drawing reference in figure indicates that the several special characteristics so marked can be included." multiple " are intended to refer to more than one this
Things.
Claims (20)
1. a kind of method, comprising:
It is network controlled the stability status that device determines network；
It is at least partially based on the stability status of network, dynamically determines multiple simulated annealing parameters with the network associate；
With
At least partly using multiple simulated annealing parameter to optimize network structure.
2. according to the method described in claim 1, wherein dynamically determining that multiple simulated annealing parameter includes dynamically determining
With the energy of the network associate, distance and it is on the move at least one.
3. according to the method described in claim 1, further comprise the Simulated annealing dynamically determined with the network associate,
Wherein the Simulated annealing is based on:
The cooling velocity of associated determination is operated with execution simulated annealing；With
The stability status of the network.
4. according to the method described in claim 1, further comprising the stability status for being at least partially based on the network, dynamically
Ground determines the original state of simulated annealing.
5. according to the method described in claim 1, further comprising:
Determine that the stability status of the network is stable；
In response to determine the network be it is stable, execute on that network the first quantity simulated annealing operation；
Determine that the stability status of the network is non-stable；With
In response to determine the network be it is non-stable, execute on that network the second quantity simulated annealing operation, wherein
The simulated annealing operation of first quantity is operated less than the simulated annealing of second quantity.
6. according to the method described in claim 1, further comprising being determined using the simulated annealing parameter for executing simulation
The time budget of annealing operation, wherein the time budget includes the time quantum that simulated annealing operation will be performed, and
Wherein the time budget is at least partially based on the stability status of the network.
7. according to the method described in claim 1, wherein further to optimize network structure using multiple simulated annealing parameter
Select to send and receive the channel of the network of network flow via it including optimization network.
8. a kind of device, comprising:
It is attached to the memory resource of process resource, wherein the process resource is for executing the instruction stored on the memory resource
So that the device:
The distribution network optimization operates the time budget that will be performed, and wherein the time budget is at least partially based on the stability of network
State；
Multiple simulated annealing operations are executed during the time budget；
For the determining acceptance probability of each of multiple simulated annealing operation, wherein the acceptance probability is at least partially based on the network
The stability status；
It is at least partially based on each restriction simulated annealing parameter that the acceptance probability is the operation of multiple simulated annealing.
9. device according to claim 8, wherein the simulated annealing parameter is primary simulation annealing temperature and final simulation
At least one of annealing temperature.
10. device according to claim 8, wherein the process resource for further execute instruction with:
Determine that the time budget has expired；And
In response to the determination, historical simulation annealing optimization data are at least partially based on to limit Simulated annealing.
11. device according to claim 8, wherein the memory resource and the process resource are the portion of network controller
Point.
12. device according to claim 8, wherein the process resource is for further executing instruction to be based on and the network
The energy of associated Optimization Solution, at least one radio with the quantity of the radio of the network associate and the network associate
Age and at least one of information from monitoring radio events determine the stability status of the network.
13. device according to claim 8, wherein the process resource is for further executing instruction to be at least partially based on
The simulated annealing parameter executes operation to optimize network structure.
14. device according to claim 8, wherein the process resource for further execute instruction with:
Determine that the stability status of the network is stable；
In response to determine the network be it is stable, select first distance to execute moving operation to optimize the structure of the network；
Determine that the stability status of the network is non-stable；And
In response to determine the network be it is non-stable, select second distance to execute moving operation to optimize the structure of the network,
Wherein the first distance is less than the second distance.
15. a kind of non-transitory machine readable media, storage can by the instruction that process resource executes with:
Determine the stability status of network；
The stability status for being at least partially based on the network distributes time budget to the network, and wherein the time budget includes net
Network structure optimization operates the time quantum that will be performed；And
Lead to the execution of network optimization operation to select to send and receive the channel of the network of network flow via it.
16. non-transitory machine readable media according to claim 15, wherein the time budget is further at least partly
Quantity based on the radio with the network associate.
17. non-transitory machine readable media according to claim 15, wherein the time budget is further at least partly
Quantity based on the channel with the network associate.
18. non-transitory machine readable media according to claim 15, wherein the instruction can be provided further by the processing
Source execute with:
The associated statistics of Radio Measurement of monitoring and the radio of the network associate；And
It is at least partially based on and determines the stability status with the associated statistics of the Radio Measurement.
19. non-transitory machine readable media according to claim 15, wherein the instruction can be provided further by the processing
Source execute with:
Monitoring and the associated radio of heterogeneous networks；And
It is at least partially based on the total quantity of the network and the associated radio of the heterogeneous networks and determines the stability status.
20. non-transitory machine readable media according to claim 15, wherein the instruction can be provided further by the processing
Source is executed to be at least partially based on the execution for causing the network optimization to operate with the simulated annealing parameter of the network associate.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/700,162 | 2017-09-10 | ||
| US15/700,162 US20190081859A1 (en) | 2017-09-10 | 2017-09-10 | Network stability status |
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| CN109495921A true CN109495921A (en) | 2019-03-19 |
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|---|---|
| US (1) | US20190081859A1 (en) |
| EP (1) | EP3454589A1 (en) |
| CN (1) | CN109495921A (en) |
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| US20010049284A1 (en) * | 2000-02-16 | 2001-12-06 | Xiangdong Liu | System and method for effectively assigning communication frequencies in non-uniform spectrums to cells of a cellular communications network |
| US10193650B2 (en) * | 2014-03-14 | 2019-01-29 | Telefonaktiebolaget Lm Ericsson (Publ) | Automated, dynamic minimization of inter-cell site interference in CDMA networks |
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- 2017-09-10 US US15/700,162 patent/US20190081859A1/en not_active Abandoned
- 2017-10-27 CN CN201711057018.5A patent/CN109495921A/en active Pending
- 2017-10-27 EP EP17198956.9A patent/EP3454589A1/en not_active Withdrawn
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| Publication number | Publication date |
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| EP3454589A1 (en) | 2019-03-13 |
| US20190081859A1 (en) | 2019-03-14 |
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